Senior Quality Engineer Resume Example

Project : Mortgage Approval Application Process (MAAP)

This project is developed based on different phases of mortgage loan processing testing the user interface and web services in the backend.

Responsibilities:

• Developed Selenium test scripts for identified test cases by using data driven and modular driven framework .
• Worked on distributed test automation execution on different environment as a part of Continuous Integration Process using Selenium and Jenkins.
• Responsible for executing Selenium test scripts on different browsers and checked for compatibility.
• Developed GUI automation testing framework for Android and IOS with UI Automator, Appium, Selenium WebDriver and modular driven framework.
• Perform Functional testing, Regression testing and Smoke testing on mobile application on multiple devices including iPhones, Android, Tablets and Web Browsers.
• Experience in Agile methodologies and participated in all SCRUM ceremonies, experience in using collaboration tool like JIRA.
• Involved in creating JIRA tickets with proper description, steps to reproduce, screenshots and assigning it to development team to resolve the bug.
• Involved in testing Web services and XML with tool called Ready API and using this tool to locate WSDL file on internet, create test cases and run them.
• Demonstrated ability to work well under pressure in fast-paced environment.
• Conducting review meetings for requirement and test case analysis with Business Users, Product Owner and Development teams based on user stories.

Environment : Selenium Web Driver, Maven, Web services, SoapUI, Restful, Appium, Junit, TestNG, GIT, System testing, UI Automator, UNIX,Android Studio, Jira, Agile, RDBMS

Project: Connected Health (mobile and web application)

This project mainly focused on to recording health data from medical devices(Blood pressure monitor, oximeter and weighing scale) that are Continua compliant and store the data in a database for future use. The web application version of this project presented the stored test data in table format, allowed users to upload and download their results / scan reports.

Responsibilities:

• As a software Test Engineer, I was involved in testing the application on different mobile platforms like IOS and android as well as testing the equivalent web application .
• Was part of a team for implementing test automation framework for mobile testing using Appium.
• Created test data for user login and stored them in excel spreadsheets.
• Wrote test scripts for performing for automating web application using Java and Selenium and integrated TestNG for detailed reports.
• Performed manual and automation testing on both positive and negative test cases.
• Performed parameterization of the automated test scripts in Selenium to check how the application performs against multiple sets of test data.
• Performed cross browser testing on various browsers like Google Chrome, IE and Firefox using Selenium GRID.
• Created automation test scripts for Parallel Execution of test Script using Selenium Grid and TestNG.
• Expertise in documenting defects with high level of details, accuracy and informative recreation steps using JIRA.

Environment: IE 11.0/10.0, Google Chrome, Firefox, Java 7, Selenium Web Driver, Cucumber, Maven, TestNG, REST API, HTML 5.0, SQL Developer, GIT, Jenkins, Appium

Project : Object Detection using Histogram of Oriented Gradients (HOG) algorithm in Advanced Driver Assistance System (ADAS)

This project mainly focused on detection of objects such as Vehicle and Pedestrian using Histogram of Oriented Gradient algorithm. Live video is captured from the camera that is mounted on the car. This video is then converted to images and image processing algorithms are performed on it. The detected objects are marked and then sent to the display screen.

Main objective of this project is to warn the driver for any approaching / close by object that could cause a crash.

Responsibilities:

• Developed and incorporated Image Cropping module to the already existing Vehicle Detection algorithm, which significantly reduced the overall processing time of the algorithm.
• Developed object tracking algorithm using template matching .
• Was involved in creating test images for both positive and negative test cases using Support Vector Machine (SVM) algorithm.
• Implemented a framework from scratch to port the integrated Vehicle and Pedestrian detection algorithms on Texas Instruments TDA2x platform.
• Worked closely with the testing team to rectify any false / missed detections so that the algorithm can be modified accordingly.
• Optimized the code to achieve real-time performance on the TDA2x platform.
• Worked closely with the testing team to rectify any false / missed detection.
• Participated in daily standup and scrum meetings to discuss the project directions and milestones achieved.

Environment: C, Microsoft Visual Studio, OpenCV, TI's TDA2x , DSP, Embedded Vision Engine, Code Composer Studio, Windows, Linux(Ubuntu), Computer Vision